Skip to main navigation Skip to search Skip to main content

A multi-adaptive network model for human Hebbian learning, synchronization and social bonding based on adaptive homophily

  • Yelyzaveta Mukeriia
  • , Jan Treur*
  • , Sophie Hendrikse
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Downloads (Pure)

Abstract

This paper present a multi-adaptive network model integrating multiple adaptation mechanisms, specifically focusing on five types of such adaptation mechanisms. Two of them address first-order adaptation by learning of responding on others and first-order adaptation by bonding with others based on homophily. Three other adaptation mechanisms addressed are second-order adaptation of the speed of both Hebbian learning and bonding by homophily, and second-order adaptation of the homophily tipping point. The paper provides a comprehensive explanation of these concepts and their role in controlled adaptation within the diverse contextual scenarios of the paper.
Original languageEnglish
Article number101187
Number of pages28
JournalCognitive Systems Research
Volume84
Early online dateDec 2023
DOIs
Publication statusPublished - Mar 2024
Externally publishedYes

Keywords

  • Contagion

Fingerprint

Dive into the research topics of 'A multi-adaptive network model for human Hebbian learning, synchronization and social bonding based on adaptive homophily'. Together they form a unique fingerprint.

Cite this